AI for Digital Marketing

Last November I was invited to give a course on Artificial Intelligence for Digital Marketing at EBS school in Geneva. EBS stands for European Business School that was created jointly with CREA, which is specialised in digital communications and digital marketing. EBS runs bachelor’s and master’s degrees in digital business, which are nowadays quite relevant. AI for digital business is also very much relevant, as marketeers all over the world are usually among the first to adopt new technologies and new gadgets.

So, how can one leverage artificial intelligence in digital marketing ? I assume that readers know already the theory of artificial intelligence and main approaches (state-based algorithms, machine learning, deep learning), so I will not talk about the ML training process, cost functions, gradient descent, kernels, neural networks and other techniques. I will start with explaining the difference among very similar expressions used around artificial intelligence, then I will describe high-value use cases, and in the end how to successfully implement all this, so that your project flies like a rocket. So, I will stay with high-level and business-relevant explanations.

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Rydberg Qubits

A friend of mine shared a link recently in LinkedIn of the news about QuEra’s 256-qubit quantum computer and this attracted my attention. It is true that nowadays we mostly follow the progress of superconducting qubits, trapped ions or photonic systems, so cold atoms is not something I was familiar about. But this technology made some promising advances, and reading a couple of research papers was enough to realize that cold atoms have some compelling advantages.

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IBM Global Qiskit Summer School 2021

In July this year, IBM organized their already traditional Qiskit Summer School, and I was lucky enough to be able to register and follow.

Qiskit is a programming framework for coding quantum algorithms on IBM quantum computers. It is developed and maintained not only by IBM developers, but also a large community of external developers and Qiskit Advocates (to which I also belong). Qiskit summer school this year (GQSS21) was focused on quantum machine learning, a very exciting field at the intersection between quantum computing and machine learning. During two weeks, we learned about topics like:

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AI Graduate Certificate

Finally I completed AI Graduate Certificate program at Stanford University and obtained this pretigious certificate in artificial intelligence. It was quite intensive and difficult, and several times I considered giving up. My math skills were quite rusty, I didn’t have enough time taking into account my full-time work and family obligations, but in the end I’ve managed it!

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